BanditDB runs on your own machine — the client starts it, so there is no endpoint to ping. 204 installs a week from pypi. Last commit 10 Aug 2026.
Persistent decision memory for agents — learns which action works in which context
Today is the operative word: we check BanditDB every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add mcp -- uvx banditdb-python
{
"mcpServers": {
"mcp": {
"args": [
"banditdb-python"
],
"command": "uvx"
}
}
}
[mcp_servers.mcp]
command = "uvx"
args = ["banditdb-python"]
{
"mcpServers": {
"mcp": {
"args": [
"banditdb-python"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"mcp": {
"args": [
"banditdb-python"
],
"command": "uvx"
}
}
}
This one needs environment variables set before it will start:
BANDITDB_URL (Base URL of the BanditDB server, e.g. http://localhost:8080 or https://your-instance.api.banditdb.com. Try it against the public sandbox at https://sandbox.banditdb.com before running your own.), BANDITDB_API_KEY (API key. A writer-role key is enough for get_intuition and record_outcome; admin is needed to create or delete campaigns.).
The author declared them in the registry entry; get the values from the project itself.
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Answers built from our own checks of this server.